Evidence map›Paper›PMID 28122626›Full record

ArticleHealth and quality of life outcomes2017

Developing a dementia-specific health state classification system for a new preference-based instrument AD-5D.

Kim-Huong Nguyen, Brendan Mulhern, Sanjeewa Kularatna, Joshua Byrnes, Wendy Moyle, Tracy Comans

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Dimensions Used in Instruments for QALY Calculation: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Rasch validation of the short form (8 item) PC-QoL questionnaire and applicability of use as a health state classification system for a new preference-based measure.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
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  5. Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kim-Huong NguyenCenter for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Nathan, QLD, 4111, Australia. kim.nguyen@griffith.edu.au.ORCID http://orcid.org/0000-0002-2592-9372
Brendan MulhernCentre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia.
Sanjeewa KularatnaCenter for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Nathan, QLD, 4111, Australia.
Joshua ByrnesCenter for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Nathan, QLD, 4111, Australia.
Wendy MoyleCentre for Health Practice Innovation, Griffith University, Brisbane, Australia.
Tracy ComansCenter for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Nathan, QLD, 4111, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith an ageing population, the number of people with dementia is rising. The economic impact on the health care system is considerable and new treatment methods and approaches to dementia care must be cost effective. Economic evaluation requires valid patient reported outcome measures, and this study aims to develop a dementia-specific health state classification system based on the Quality of Life for Alzheimer's disease (QOL-AD) instrument (nursing home version). This classification system will subsequently be valued to generate a preference-based measure for use in the economic evaluation of interventions for people with dementia.

methodsWe assessed the dimensionality of the QOL-AD to develop a new classification system. This was done using exploratory and confirmatory factor analysis and further assessment of the structure of the measure to ensure coverage of the key areas of quality of life. Secondly, we used Rasch analysis to test the psychometric performance of the items, and select item(s) to describe each dimension. This was done on 13 items of the QOL-AD (excluding two general health items) using a sample of 284 residents living in long-term care facilities in Australia who had a diagnosis of dementia.

resultsA five dimension classification system is proposed resulting from the three factor structure (defined as 'interpersonal environment', 'physical health' and 'self-functioning') derived from the factor analysis and two factors ('memory' and 'mood') from the accompanying review. For the first three dimensions, Rasch analysis selected three questions of the QOL-AD ('living situation', 'physical health', and 'do fun things') with memory and mood questions representing their own dimensions. The resulting classification system (AD-5D) includes many of the health-related quality of life dimensions considered important to people with dementia, including mood, global function and skill in daily living.

conclusionsThe development of the AD-5D classification system is an important step in the future application of the widely used QOL-AD in economic evaluations. Future valuation studies will enable this tool to be used to calculate quality adjusted life years to evaluate treatments and interventions for people diagnosed with mild to moderate dementia.

Indexed as

Health Status IndicatorsAgedAged, 80 and overAlzheimer DiseaseAustraliaDementiaFemaleHomes for the AgedHumansMaleMiddle AgedNursing HomesPsychometricsQuality of LifeDementiaEconomic evaluationHealth-related quality of lifeHealth state classificationPreference-based measureQALYQOL-AD

Identifiers

PMID28122626
PMCPMC5264482

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.